Triple

T2915205

Position	Surface form	Disambiguated ID	Type / Status
Subject	College of Engineering (University of Michigan)	`E63788`	entity
Predicate	hasUnit	`P35`	FINISHED
Object	Department of Industrial and Operations Engineering (University of Michigan) The Department of Industrial and Operations Engineering at the University of Michigan is an academic department specializing in the study and advancement of industrial engineering, operations research, and related optimization and decision-making methodologies.	`E310909`	NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini

Instruction

Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).

Input

Phrase: Department of Industrial and Operations Engineering (University of Michigan) | Statement: [College of Engineering (University of Michigan), hasUnit, Department of Industrial and Operations Engineering (University of Michigan)]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Department of Industrial and Operations Engineering (University of Michigan)
Context triple: [College of Engineering (University of Michigan), hasUnit, Department of Industrial and Operations Engineering (University of Michigan)]

A. School of Industrial Engineering
The School of Industrial Engineering is a major academic unit of the Polytechnic University of Madrid specializing in education and research in industrial and systems engineering disciplines.
B. Department of Industrial Engineering
The Department of Industrial Engineering is an academic unit at Tor Vergata University of Rome focused on education and research in industrial, mechanical, and management engineering disciplines.
C. Department of Industrial Engineering
The Department of Industrial Engineering at Sharif University of Technology is a leading Iranian academic unit specializing in optimizing complex systems, production processes, and organizational operations through engineering and management sciences.
D. Department of Industrial Engineering
The Department of Industrial Engineering is an academic unit at the University of Engineering and Technology Peshawar that focuses on optimizing complex systems, processes, and organizations through engineering and management principles.
E. Department of Industrial Engineering and Operations Research, UC Berkeley
The Department of Industrial Engineering and Operations Research at UC Berkeley is a leading academic department specializing in optimization, stochastic processes, data analytics, and systems engineering for complex decision-making in industry and society.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Department of Industrial and Operations Engineering (University of Michigan)
Triple: [College of Engineering (University of Michigan), hasUnit, Department of Industrial and Operations Engineering (University of Michigan)]

Generated description

The Department of Industrial and Operations Engineering at the University of Michigan is an academic department specializing in the study and advancement of industrial engineering, operations research, and related optimization and decision-making methodologies.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Department of Industrial and Operations Engineering (University of Michigan)
Target entity description: The Department of Industrial and Operations Engineering at the University of Michigan is an academic department specializing in the study and advancement of industrial engineering, operations research, and related optimization and decision-making methodologies.

A. School of Industrial Engineering
The School of Industrial Engineering is a major academic unit of the Polytechnic University of Madrid specializing in education and research in industrial and systems engineering disciplines.
B. Department of Industrial Engineering
The Department of Industrial Engineering is an academic unit at Tor Vergata University of Rome focused on education and research in industrial, mechanical, and management engineering disciplines.
C. Department of Industrial Engineering
The Department of Industrial Engineering at Sharif University of Technology is a leading Iranian academic unit specializing in optimizing complex systems, production processes, and organizational operations through engineering and management sciences.
D. Department of Industrial Engineering
The Department of Industrial Engineering is an academic unit at the University of Engineering and Technology Peshawar that focuses on optimizing complex systems, processes, and organizations through engineering and management principles.
E. Department of Industrial Engineering and Operations Research, UC Berkeley
The Department of Industrial Engineering and Operations Research at UC Berkeley is a leading academic department specializing in optimization, stochastic processes, data analytics, and systems engineering for complex decision-making in industry and society.
F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step	Stage	Batch ID	Status	When
creating	Elicitation	`batch_69ab4c44ab448190b9411324e8a1fc1d`	completed	March 6, 2026, 9:51 p.m.
NER	Named-entity recognition	`batch_69abe0edb1ac81908b22ef60abb4a4df`	completed	March 7, 2026, 8:25 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69b056249b5c8190b388088bf047616f`	completed	March 10, 2026, 5:34 p.m.
NEDg	Description generation	`batch_69b06434bef48190848d8ab1aa59937c`	completed	March 10, 2026, 6:34 p.m.
NED2	Entity disambiguation (via description)	`batch_69b064a3b41481909214a09eae0b092b`	completed	March 10, 2026, 6:36 p.m.

Created at: March 6, 2026, 10:11 p.m.